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About the Role
We are seeking an experienced Perception System Architect to design and lead intelligent perception solutions that enable robots and autonomous systems to understand and interact with their environment. This role combines expertise in computer vision, sensor fusion, AI/ML, and edge computing to build production-ready perception systems. Strong communication and presentation skills are essential for collaborating with cross-functional teams and clients.
Key Responsibilities
Design end-to-end perception system architectures for autonomous and robotic platforms
Architect multi-sensor fusion systems integrating cameras, lidar, radar, and inertial sensors
Develop perception pipelines on edge platforms: NVIDIA THOR, Qualcomm Snapdragon Ride, and similar
Integrate Vision Language Models (VLM) and Vision Language Action (VLA) for video analytics and decision-making
Implement reinforcement learning solutions for perception optimization and autonomous behavior
Design path planning algorithms and trajectory optimization integrated with perception outputs
Mentor hardware, firmware, and software engineers on perception best practices
Communicate technical perception solutions to stakeholders and clients with clarity
Core Technical Skills
Hands-on experience building production-grade Perception System solutions
Expertise in sensor fusion (visual, lidar, radar, IMU) and multi-sensor integration
Deep learning frameworks for computer vision (OpenCV, TensorFlow, PyTorch, YOLO, 3D detection)
Vision Language Models (VLM) and Vision Language Action (VLA) for video analytics
Reinforcement Learning (RL) for perception optimization and policy learning
Edge AI platforms: NVIDIA THOR, Qualcomm Snapdragon, Jetson, and similar processors
3D perception, object detection, segmentation, pose estimation, and tracking
Path planning and trajectory optimization algorithms
Real-time processing and low-latency system design
Strong communication and presentation skills for client and team engagement
Job ID: 149063733
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